2023

A Bibliometric Review of Large Language Models Research from 2017 to 2023

Fan, Lizhou, Li, Lingyao, Ma, Zihui et al.

Understand

Large language models (LLMs) are a class of language models that have demonstrated outstanding performance across a range of natural language processing (NLP) tasks and have become a highly sought-after research area, because of their ability to generate human-like language and their potential to revolutionize science and technology.

  • In this study, we conduct bibliometric and discourse analyses of scholarly literature on LLMs.
  • Synthesizing over 5,000 publications, this paper serves as a roadmap for researchers, practitioners, and policymakers to navigate the current landscape of LLMs research.
  • We present the research trends from 2017 to early 2023, identifying patterns in research paradigms and collaborations.

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